Elevate Your Portfolio with These Unique Data Science Project Ideas

1. Elevate Your Portfolio with These Unique Data Science Project Ideas Kickstart your data science adventure with these accessible project ideas: Analyze social media posts to uncover what people are saying. Use machine learning to predict home values. Group customers based on their behaviors to identify trends. Build a chatbot that understands and responds to human language. E-crime Identification Using Photo Matching App Face recognition has become a popular area of research in computer vision, it is typically used in network security systems and access control systems but it is also useful in other multimedia information processing areas. One of its applications is criminal face identification. Face Identification is a technique that is mainly used to identify criminals based on the clues given by the eyewitnesses. The criminal record generally contains personal information about a particular person along with the photograph. To identify any criminal we need some identification regarding a particular person or persons, which is given by eyewitnesses. Based on the details given by the eyewitnesses, further investigation would be carried out. In most cases, the quality and resolution of the recorded image segments are poor, and hard to identify a face. Speak4diet: A Mobile App For Monitoring Dietary Composition Good nutrition is an important part of leading a healthy lifestyle Combined with physical activity, your diet can help you to reach and maintain a healthy weight, reduce your risk of chronic diseases (like heart disease and cancer), and promote your overall health. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. Voice-based mobile nutrition monitoring system that devises speech processing, natural language processing (NLP) V, and text mining techniques in a unified platform to facilitate nutrition monitoring. After converting the spoken data to text, nutrition-specific

2. data are identified within the text using an NLP-based approach that combines standard NLP with our introduced pattern mapping technique. We then develop a tiered matching algorithm to search the food name in our nutrition database and accurately compute calorie intake values. Medicine Helper Using OCR Today's life is full of responsibilities and stress. So, people are felt to diseases of different types and it is their own duty to make themselves fit and healthy. Healthcare is the basic need of human beings. The category of patients involves all human beings housewives, businessmen, students, teachers, and service men, and also all of them have a busy hectic schedule. Nowadays, Smartphones have reached every hand and every home. As a result, people are making use of beneficial mobile applications to make their everyday lives easier. Many times patients forget to take medicine from time to time, so they get infected again. So it is necessary to take proper medicines in the proper quantity at the proper time Now for Patients Introduce An Android app. To overcome this conflict we introduced one Android smart phone based mobile app, this app we developed on the basis of a technique called OCR (Optical Character Reader) this will make simpler the task of getting the characters by scanning the mobile camera on the medicine or other areas. This technique is invoked in our app like all patients are not educated to add the medicine to remind alarm. It is difficult. But our framework it can make easy, the user no need to type the medicine name, and all once scan he can get the name of the tablet on the screen and add it to remind and set the alarm Face Detection Using Mobile Vision Face detection is an advanced machine learning technology being used in a variety of applications that identify human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene. Face Detection is a leap forward from the previous Android Face Detector. Face API. It's designed to better detect human faces in images and video for easier editing. It's smart enough to detect faces even at different orientations so if your subject's head is turned sideways, it can detect it. Specific landmarks can also be detected on faces, such as the eyes, the nose, and the edges of the lips. The final app will draw an overlay on the camera image, which will highlight the detected faces. Basically, the application only consists of an Activity and a custom view. The functions for calculating the correct display orientation have been taken from Android's original Camera App_ We will make an app that will allow you to detect multiple faces in the camera and at the same time make a prediction about the detected faces. Currently, Mobile Vision API only provides detection of faces. This implementation requires the use of Google Mobile Vision API which is included in your play services library. More Info